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rvanlaar

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I'm working on a project to revive old QTVR movies[1].

After writing a couple of python decoders [2] for movie encodings from the 90's it got old quickly.

As luck would have it, FFmpeg has support for almost all video encodings under the sun. For my usecase I wanted to send one frame per time to FFmpeg to decode.

Luckily I found PyAV[3]. It's a Cython project which binds to FFmpeg.

Which brings me to the article. It reads more like a C bad, rust good. Cythons tag line is: 'Cython gives you the combined power of Python and C`

Just wanting speed and less memory bugs, then rust will fare better. If you want to have the combined power of Python and C then Cython is pretty cool.

[1] https://github.com/rvanlaar/QTVR [2] https://github.com/rvanlaar/QTVR/tree/master/qtvr/decoders [3] https://github.com/PyAV-Org/PyAV

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Roland van Laar is an independent IT consultant who helps businesses use IT. Be it unstucking a project or building software and bringing ideas into reality. He started 16 years ago in IT and has since gotten experience in various roles such as, sysadmin, devops, teaching, coder, project lead, architect and advisor. Now he's working on helping companies by focusing on process.

What an interesting story. It made me look up how medal of honor started.

Could you clarify a few things? I don't think the story adds up.

Wikipedia has the followin information. Medal of Honor was made by DreamWorks interactive. [..] Filmmaker Steven Spielberg Spielberg founded DreamWorks Interactive in 1995. [1] And: Danger Close Games (formerly DreamWorks Interactive LLC and EA Los Angeles) was an American video game developer based in Los Angeles. [2]

This doesn't sound like 'a small game studio in Oklahoma'.

[1]https://en.wikipedia.org/wiki/Medal_of_Honor_(1999_video_gam...

[2]https://en.wikipedia.org/wiki/Danger_Close_Games

Edit: It seems you were talking about the acclaimed: Medal of Honor: Allied Assault.

Made by: 2015, inc[3] https://en.wikipedia.org/wiki/2015_Games

Edit 2: Spelling

Secret History of silicon valley, more a presentation. It gave insight into the collaboration of astrophysics and the military.

Shoah: An documentary about the holocaust 11 hours long, but without any archive footage. The maker interviews all kinds of people. Farmers living next to train emplacements used, train drivers, perpetrators and more.

I've read the paper. What got my senses tingling, is that: - there has been no investigation on which strains were in the lab - if the data is to be trusted, given it's in China.

Till those questions have been answered I remain skeptical about the origin.

X1 owner checking in. I use it and I'm happy with it. It hit the sweet spot when I bought it a couple of years ago.

I don't recommend it for the given price point. I included all extra options such as insurance and the extra disk space.

I found it isn't fast enough in general usage. Had problems running a serverless javascript project. External monitors with scaling will bring the iGPU to its knees. The display itself is too small to effectively program on it, and the CPU is not powerful enough to run a multitude of unittests or compile more complicated programs on.

I use my X1 with an eGPU and two 4K monitors. Webdevelopment happens in VSCode with heavy usage of the VSCode remote docker plugin. This enables me to run unittests and development tasks on a beefy PC.

Taken all together this raises the price quite a bit.

It what happens when people see the media and their government lying.

They start asking, what else have they been hiding and lying about. After that it's hard to keep it grounded in reality. It's the proverbial "and see how deep the rabbit hole goes".

The case with Mauride de Hond is different. His expertise is statistics. He is well known in the Netherlands for gathering election polling data.

He really looked at a few superspread events and drilled down in how it could've spread.

Respectfully disagree.

A lot of people who looked into COVID were saying this doesn't add up. They were were framed to be in the 'small vocal minorities that say all sorts of crap'.

"the system" was all pointing and looking at each other. Big tech censored content that was deemed misinformation by the standards du jour.

"the system" failed what it said it would do, follow the science. And the WHO has been a major part of that system.

One Year with R 4 years ago

I'm not OP.

To me, it's the tooling around it. Everything is done in R-studio and it's focus is to generate statistical documents.

The result is a sub optimum solution. It lacks good tooling around installing and running R programs. R programs don't import, they include. It doesn't make it more readable. R-studio is very Emacs like in the sense that it just lacks a decent editor. Due to R-studio being the default, there's not much support for other editors.

You're hitting the nail on the head. I'm not against the website owners seeing what I do on their website.

What I am against is what other parties are able to do with the data when sold. They're able to correlate website visits with specific businesses and linkedin profiles.

Thank you for sharing this view. There are a few nails in reddit's coffin and this is certainly one of them.

I used to be able to gauge real world opinions on reddit pretty accurately, i.e. be aware what was happening before the curve. That is gone now.

I really enjoyed mine as well.

Sometimes it would just drain the battery, and gone was all my data. As a young adult, all my appointments would be gone and I was left wondering if I was forgetting an appointment.

I've noticed this in the educational sector. It's technically not that hard to produce good software for it.

It has mainly settled at a local maximum. The software is good enough, money is tight, the priorities are different and procedures are bureaucratic.

Switching to new and better software means, first making it a priority. The procedure for larger schools also mean getting legal on board, writing an invitation to tender, etc.

What a great question. You've come to the right community.

My main concern would be to make sure there are no passwords or secret keys in the data, not how it looks.

You'll open yourself up for comments. They may be positive or negative. You'll only know how it pans out afterwards.

Is the code something that you'll want to improve on for further research? If so publish it on github. It opens the way for others to contribute and improve the code. Be sure to include a short readme that you welcome PRs for code cleanup, etc. That way you can turn comments criticizing your code into a request for collaboration. It'll really separates helpful people from drive by commenters.